DomainFuture25
* *Domain Generalization: Evolution, Breakthroughs, and Future Horizons
* ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation
* Confidence-Calibrated Covariate Shift Correction for Few-Shot Classification in Vision-Language Models
* Domain Generalization for Semantic Segmentation: A Survey
* Domain Generalization Through Attenuation of Domain-Specific Information
* FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
* IMC: A Benchmark for Invariant Learning Under Multiple Causes
* Improving Open-World Object Localization by Discovering Background
* Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation
* Mopeft: A Mixture-of-Pefts for the Segment Anything Model
* PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
* PiCaZo: Pixel-Aligned Contrastive Learning for Zero-Shot Domain Adaptation
* Prototype-Based Continual Learning with Label-Free Replay Buffer and Cluster Preservation Loss
* Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning
* T-SAM: Transductive Learning for Segment Anything Model
* Task-Conditioned Ensemble of Expert Models for Continuous Learning
* Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
* VISTA-CLIP: Visual Incremental Self-Tuned Adaptation for Efficient Continual Panoptic Segmentation
18 for DomainFuture25